MACPET

DOI: 10.18129/B9.bioc.MACPET    

This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see MACPET.

Model based analysis for paired-end data

Bioconductor version: 3.7

The MACPET package can be used for binding site analysis for ChIA-PET data. MACPET reads ChIA-PET data in BAM or SAM format and separates the data into Self-ligated, Intra- and Inter-chromosomal PETs. Furthermore, MACPET breaks the genome into regions and applies 2D mixture models for identifying candidate peaks/binding sites using skewed generalized students-t distributions (SGT). It then uses a local poisson model for finding significant binding sites. MACPET is mainly written in C++, and it supports the BiocParallel package.

Author: Ioannis Vardaxis

Maintainer: Ioannis Vardaxis <ioannis.vardaxis at ntnu.no>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("MACPET")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("MACPET")

 

PDF	R Script	MACPET
PDF		Reference Manual
Text		NEWS

Details

biocViews	Classification, Clustering, DNA3DStructure, HiC, PeakDetection, Software, StatisticalMethod
Version	1.0.0
License	GPL-3
Depends	R (>= 3.5), InteractionSet(>= 1.7.6)
Imports	intervals (>= 0.15.1), plyr (>= 1.8.4), Rsamtools(>= 1.31.3), stats (>= 3.5.0), utils (>= 3.5.0), methods (>= 3.5.0), GenomicRanges(>= 1.31.20), S4Vectors(>= 0.17.32), IRanges(>= 2.13.26), GenomeInfoDb(>= 1.15.5), gtools (>= 3.5.0), GenomicAlignments(>= 1.15.12), knitr (>= 1.19), Rcpp (>= 0.12.15), rtracklayer(>= 1.39.9), BiocParallel(>= 1.13.1), Rbowtie(>= 1.19.1), GEOquery(>= 2.47.17), Biostrings(>= 2.47.9), ShortRead(>= 1.37.1), rbamtools (>= 2.16.6), futile.logger (>= 1.4.3)
LinkingTo	Rcpp
Suggests	ggplot2 (>= 2.2.1), igraph (>= 1.1.2), rmarkdown (>= 1.8), reshape2 (>= 1.4.3), BiocStyle(>= 2.7.8)
SystemRequirements	C++11
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Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	MACPET_1.0.0.tar.gz
Windows Binary	MACPET_1.0.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	MACPET_1.0.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/MACPET
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/MACPET
Package Short Url	http://bioconductor.org/packages/MACPET/
Package Downloads Report	Download Stats